Optimizing Engagement in Digital Mental Health Services among Sexual and Gender Minority Consumers

优化性少数群体消费者对数字心理健康服务的参与

• 批准号: 10738476
• 负责人: Meghan Romanelli
• 金额: $ 13.84万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-21 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10738476
• 关键词: Address; Adult; Advocacy; Affective; Anxiety; Behavioral; Caring; Characteristics; Cognitive; Communities; Data Analyses; Data Analytics; Development; Discrimination; Distal; Ethnic Origin; Evaluation; Expectancy; Experimental Designs; Feedback; Focus Groups; Funding; Future; Gender Identity; Goals; Health; Health Resources; Health Services; Health Services Accessibility; Health Services Research; Health behavior change; Healthcare; Heterogeneity; Heterosexuals; Improve Access; Informatics; Infrastructure; Internet; Intervention; K-Series Research Career Programs; Mental Depression; Mental Health; Mental Health Services; Mental health promotion; Metadata; Methodology; Methods; Modeling; Names; National Institute of Mental Health; Outcome; Pattern; Personal Satisfaction; Population; Positioning Attribute; Principal Investigator; Process; Public Health; Race; Reporting; Research; Research Support; Route; Safety; Sampling; Self Direction; Services; Sex Orientation; Sexual and Gender Minorities; Sexual and Gender Minority Youth; Shapes; Social Work; Source; Strategic Planning; Subgroup; Support Groups; Symptoms; Technology; Testing; Therapeutic; Training; Universities; Washington; analytical method; barrier to care; big data management; care preference; career; cisgender; data integration; design; digital intervention; digital mental health; evidence base; experience; feasibility testing; gender minority group; gender minority health; health care availability; health disparity; health equity; health equity promotion; health goals; help-seeking behavior; human centered design; improved; innovation; insight; marginalized population; member; peer; preference; professor; prototype; psychoeducation; psychoeducational; randomized trial; screening; self reliance; service delivery; sexual identity; supervised learning; theories; tool; trial design

PROJECT SUMMARY Sexual and gender minority (SGM) populations are disproportionately impacted by mental health concerns relative to their heterosexual and cisgender peers. SGM populations, however, continue to report unmet mental health needs because they cannot or do not access mental health services. Digital Mental Health (DMH) has been recognized as a feasible, economical, and effective approach to broaden the availability of mental health care to consumers who face barriers to mental health help-seeking. SGM consumers cite a preference for DMH resources, and this delivery format holds promise to attend to major access barriers experienced by this consumer group. Yet, the availability of DMH content tailored to the needs of SGM consumers is limited, and a dearth of research examines SGM populations' actual engagement with DMH services. A potential solution to fully understand how SGM populations utilize DMH services would be to characterize their engagement within a natural setting. Leveraging an established partnership with Mental Health America (MHA), a non-profit mental health advocacy group offering free, evidence-based screenings and self-guided DMH resources, this study will follow a large, naturalistic sample of SGM DMH consumers with the aims to: 1) characterize consumers' current and predictive patterns of engagement with MHA's DMH resources and examine consumer characteristics associated with these different engagement patterns (Aim 1); 2) employ human-centered design approaches to gain insights related to group-specific processes not captured by MHA's meta-data that impact DMH engagement among SGM consumers and integrate data to design and build prototype engagement strategies for consumer evaluation (Aim 2), and; 3) test the tailored engagement strategies with MHA's SGM consumers using a micro-randomized trial (MRT) design (Aim 3). To accomplish these aims and prepare for a larger R01 trial, the Principal Investigator will receive training in: 1) the theoretical, substantive, and methodological underpinnings of DMH; 2) big data management and analytic methods, specifically supervised machine learning; 3) human-centered design approaches for designing tailored DMH interventions, and; 4) experimental design and data analysis for evaluating adaptive DMH interventions. The candidate is an Assistant Professor of Social Work at the University of Washington whose long-term career goal is to become an expert in the field of mental health services research, specializing in digital interventions to improve service access for SGM consumers through increased availability and enhanced acceptability. The proposed study advances this objective by aligning with the care preferences of SGM consumers, leveraging the infrastructure of an existing DMH platform at minimal burden to consumers, and contributing evidence towards optimized engagement outcomes for SGM consumers through the use of tailored strategies.

项目总结 性和性别少数(SGM)人群受到心理健康问题的影响不成比例 相对于他们的异性恋和顺性别同龄人。然而，SGM人群继续报告未得到满足的精神 健康需求，因为他们不能或不能获得心理健康服务。数字心理健康(DMH)具有 被公认为是扩大心理健康可获得性的可行、经济和有效的方法 关爱面临心理健康求助障碍的消费者。SGM消费者提到对DMH的偏好 资源，而这种交付形式承诺要注意解决由 消费者群体。然而，针对SGM消费者的需求量身定做的DMH内容的可用性有限，并且 缺乏研究来考察SGM人群对DMH服务的实际参与情况。一个潜在的解决方案 充分了解SGM人群如何利用DMH服务来描述他们在 自然的环境。利用与美国心理健康协会(MHA)建立的伙伴关系，MHA是一家非营利性心理健康机构 健康倡导组织提供免费的循证筛查和自我指导的DMH资源，这项研究将 跟踪SGM DMH消费者的大量自然样本，目的是：1)描述消费者的当前 和与MHA的DMH资源接触的预测模式，并检查消费者特征 与这些不同的参与模式相关联(目标1)；2)采用以人为中心的设计方法 获得与影响DMH的MHA元数据未捕获的特定于组的流程相关的见解 SGM消费者的参与度，并整合数据以设计和构建原型参与度战略 用于消费者评估(目标2)；以及；3)与MHA的SGM消费者测试量身定制的参与策略 采用微随机化试验(MRT)设计(目标3)。为了实现这些目标并为更大的R01做准备 在审判期间，首席调查员将接受以下方面的培训：1)理论、实质和方法 DMH的基础；2)大数据管理和分析方法，特别是有监督的机器学习； 3)以人为中心的设计方法，设计有针对性的DMH干预措施；4)实验设计 以及用于评估适应性DMH干预的数据分析。应聘者是社会学助理教授 在华盛顿大学工作，其长期职业目标是成为心理领域的专家 卫生服务研究，专门从事数字干预，以改善SGM消费者获得服务的机会 通过增加可获得性和增强可接受性。拟议的研究通过以下方式推进了这一目标 与SGM消费者的护理偏好保持一致，利用现有DMH平台的基础架构 将消费者的负担降至最低，并为SGM的最佳参与结果提供证据 消费者通过使用量身定做的策略。